
There are a very few approaches of sketch generation which use stochastic techniques such as Hidden Markov Models (HMMs) [1]} and others that use pure image processing techniques such as [2]}. There are quite a lot of work done relating to human-drawn sketches in general using DL such as recognition [3]}, [4]}, [5]}, eye-fixation or saliency [6]}, guessing a sketch being drawn [7]} and parsing [8]}. Specifically [9]} uses GANs to generate sketches of human faces given digital portraits of their faces. There are also works such as [10]}, [11]} which discuss the approaches to convert rasterized sketches into realistic images. One commonality amongst all of them is that all of them work with sketches in the raster format.
